Table 4.

Statistical evaluation of differences in classification accuracy for different connectivity matrices.

	allROI-NW	NW-NW	allROI-allROI
allROI-NW	–	0.0439*	0.0002**
NW-NW		–	0.0439*

Distinct connectivity matrices based on Pearson correlations among time courses of regions-of-interest (ROI) of subcortical-cerebellar systems (Figure 1) and cortical intrinsic networks (NW) of Figures S2–6 have been classified by support vector machine with distinct classification accuracy results (see Table 2). Classification accuracies were compared among each other via statistical testing (pairwise binominal testing, details in methods). allROI-NW connectivity yielded significantly highest classification accuracy (*indicates significance at threshold p = 0.05, **p = 0.01). Abbreviations: ROI, Regions of interest; NW, networks.